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Rodolfo Cristovao, Product Manager, Feedzai
February, 12, 2019
How Feedzai is using Elastic for fighting financial
crime
© 2018 Feedzai. This presentation is proprietary and confidential.
1. About Feedzai
2. Why we choose Elastic
3. How are we using it
2
Agenda
The project:
Leveraging Elastic to provide
an end-to-end Data Science
Hub for our customers and
fight financial crime
© 2018 Feedzai. This presentation is proprietary and confidential. 4
Feedzai mission:
make banking and commerce safe.
© 2018 Feedzai. This presentation is proprietary and confidential. 5
About Feedzai
Forbes

Fintech 50

2018
Startups that
are owning the
data game
Ranked as a cool
technology to
watch
Feedzai’s
machine learning
is the next wave
INVESTORS
WHAT OTHERS SAY
SOME OF OUR CLIENTS
Essential tools
for US card
issuers
$5 BILLION
in transactions scored each day
10 OF THE LARGEST 25
global banks protected by
Feedzai
$82 MILLION
in total funding
30 MILLION TRANSACTIONS
go through our system each
day
200 MILLION PEOPLE
protected by Feedzai
400+
employees worldwide
20
nationalities
8
offices around the globe
QUICK FACTS
© 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 6
WHY WE CHOOSE ELASTIC
© 2018 Feedzai. This presentation is proprietary and confidential.
Reason 1 - Real Time
7
EVENT ORIGIN
(PAYMENT SYSTEMS, ACS, CMS, ETC.)
HISTORICAL PROFILES
REAL-TIME PROFILES DATA ENRICHERS
DEVICE ID
CURRENCY INFOIP INFO
MACHINE LEARNING
MODELS
RAPID TRAIN &
DEPLOY
RISK SCORE CALCULATED
DECISION MADE
WHITEBOX EXPLANATIONS ™
EVENTS
OTHER
© 2018 Feedzai. This presentation is proprietary and confidential.
Reason 2 - Security
8
AUTHENTICATION
Greater UX with SSO
certificates, SAML, etc
AUTHORIZATION
multi-tenancy
spaces
ENCRYPTION
Protect credit card numbers, email
addresses, accounts
SSL/TLS encryption
COMPLIANCE
AUDITING, PCI-DSS, GDPR
© 2018 Feedzai. This presentation is proprietary and confidential.
Reason 3 - Explore data
9
© 2018 Feedzai. This presentation is proprietary and confidential.
Reason 4 - Self Serviceability
10
© 2018 Feedzai. This presentation is proprietary and confidential.
Reason 5 - it Scales
11
Feedzai processes hundreds of millions of
profiles in real time, navigating through
thousands of decision trees.
Thousands of data points
• Average Monthly Transaction Amount for location
• Average Daily Transaction Amount for IP
• Average Monthly Transaction Amount for location
• Monthly variance by product type
• Hourly transaction velocity
© 2018 Feedzai. This presentation is proprietary and confidential.
Do you need any more reasons?
12
Data driven business model
we we searching for one that was dependent on data usage, not on
the number of eyeballs that access a specific dashboard.
OEM partnership
We needed top notch support and the ability to resell for different
customers
© 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 13
HOW ARE WE USING IT
The various ways we are using Elastic to empower the Data Scientists
both ours and customers
© 2018 Feedzai. This presentation is proprietary and confidential.
Integration with Feedzai Stack
14
Historic
Index
Transactions
Index
Case
Manager
Pulse
Events
Enrichment
Feedback
{
"@timestamp": "2018-08-20T10:19:42+00:00",
"_id": "29ea275c-a45c-11e8-98d0-529269fb1459",
"pulse": {
...
},
"feedback": {
...
},
"fields": {
...
},
...
*
*
© 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 15
Jupyter Lab
Extend your Data Scientists perform data exploration with the usual tools.

© 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 16
Unsupervised Model Drift
Peaks show anomalies from model scoring
© 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 17
Model Drift Peak Analysis
Explainability why there is a peak
Human Interpretation:
malformed e-mails.
This is a fraud attack.
© 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 18
Supervised Model Performance
Find the right time to re-train our models
© 2018 Feedzai. This presentation is proprietary and confidential. 19
Feedzai Genome
Use Feedzai Genome to
• Identify and manage
common points of
compromise
• Identify bot attacks
• Trace the money flow
in money laundering
schemes
The sequencing of financial crime
Feedzai Genome is
• Powered by AI
• Built to fight financial
crime
• Adaptable
Deeper & Efficient risk
assessment
Uncover Hidden
Patterns Automatically
© 2018 Feedzai. This presentation is proprietary and confidential.
Keynotes from our experience
20
big customers have
their own dedicated
infrastructure
smaller customers
may share a cluster
given proper security
careful with self-
serviceability
do your benchmarks
and optimize, one
sizing does not fit all
© 2018 Feedzai. This presentation is proprietary and confidential. 21
THANK YOU

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Preventing Fraud and Building an End-to-End Data Science Hub at Feedzai with Elastic

  • 1. 1 Rodolfo Cristovao, Product Manager, Feedzai February, 12, 2019 How Feedzai is using Elastic for fighting financial crime
  • 2. © 2018 Feedzai. This presentation is proprietary and confidential. 1. About Feedzai 2. Why we choose Elastic 3. How are we using it 2 Agenda The project: Leveraging Elastic to provide an end-to-end Data Science Hub for our customers and fight financial crime
  • 3.
  • 4. © 2018 Feedzai. This presentation is proprietary and confidential. 4 Feedzai mission: make banking and commerce safe.
  • 5. © 2018 Feedzai. This presentation is proprietary and confidential. 5 About Feedzai Forbes
 Fintech 50
 2018 Startups that are owning the data game Ranked as a cool technology to watch Feedzai’s machine learning is the next wave INVESTORS WHAT OTHERS SAY SOME OF OUR CLIENTS Essential tools for US card issuers $5 BILLION in transactions scored each day 10 OF THE LARGEST 25 global banks protected by Feedzai $82 MILLION in total funding 30 MILLION TRANSACTIONS go through our system each day 200 MILLION PEOPLE protected by Feedzai 400+ employees worldwide 20 nationalities 8 offices around the globe QUICK FACTS
  • 6. © 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 6 WHY WE CHOOSE ELASTIC
  • 7. © 2018 Feedzai. This presentation is proprietary and confidential. Reason 1 - Real Time 7 EVENT ORIGIN (PAYMENT SYSTEMS, ACS, CMS, ETC.) HISTORICAL PROFILES REAL-TIME PROFILES DATA ENRICHERS DEVICE ID CURRENCY INFOIP INFO MACHINE LEARNING MODELS RAPID TRAIN & DEPLOY RISK SCORE CALCULATED DECISION MADE WHITEBOX EXPLANATIONS ™ EVENTS OTHER
  • 8. © 2018 Feedzai. This presentation is proprietary and confidential. Reason 2 - Security 8 AUTHENTICATION Greater UX with SSO certificates, SAML, etc AUTHORIZATION multi-tenancy spaces ENCRYPTION Protect credit card numbers, email addresses, accounts SSL/TLS encryption COMPLIANCE AUDITING, PCI-DSS, GDPR
  • 9. © 2018 Feedzai. This presentation is proprietary and confidential. Reason 3 - Explore data 9
  • 10. © 2018 Feedzai. This presentation is proprietary and confidential. Reason 4 - Self Serviceability 10
  • 11. © 2018 Feedzai. This presentation is proprietary and confidential. Reason 5 - it Scales 11 Feedzai processes hundreds of millions of profiles in real time, navigating through thousands of decision trees. Thousands of data points • Average Monthly Transaction Amount for location • Average Daily Transaction Amount for IP • Average Monthly Transaction Amount for location • Monthly variance by product type • Hourly transaction velocity
  • 12. © 2018 Feedzai. This presentation is proprietary and confidential. Do you need any more reasons? 12 Data driven business model we we searching for one that was dependent on data usage, not on the number of eyeballs that access a specific dashboard. OEM partnership We needed top notch support and the ability to resell for different customers
  • 13. © 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 13 HOW ARE WE USING IT The various ways we are using Elastic to empower the Data Scientists both ours and customers
  • 14. © 2018 Feedzai. This presentation is proprietary and confidential. Integration with Feedzai Stack 14 Historic Index Transactions Index Case Manager Pulse Events Enrichment Feedback { "@timestamp": "2018-08-20T10:19:42+00:00", "_id": "29ea275c-a45c-11e8-98d0-529269fb1459", "pulse": { ... }, "feedback": { ... }, "fields": { ... }, ... * *
  • 15. © 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 15 Jupyter Lab Extend your Data Scientists perform data exploration with the usual tools.

  • 16. © 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 16 Unsupervised Model Drift Peaks show anomalies from model scoring
  • 17. © 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 17 Model Drift Peak Analysis Explainability why there is a peak Human Interpretation: malformed e-mails. This is a fraud attack.
  • 18. © 2018 Feedzai. This presentation is proprietary and confidential.© 2018 Feedzai. This presentation is proprietary and confidential. 18 Supervised Model Performance Find the right time to re-train our models
  • 19. © 2018 Feedzai. This presentation is proprietary and confidential. 19 Feedzai Genome Use Feedzai Genome to • Identify and manage common points of compromise • Identify bot attacks • Trace the money flow in money laundering schemes The sequencing of financial crime Feedzai Genome is • Powered by AI • Built to fight financial crime • Adaptable Deeper & Efficient risk assessment Uncover Hidden Patterns Automatically
  • 20. © 2018 Feedzai. This presentation is proprietary and confidential. Keynotes from our experience 20 big customers have their own dedicated infrastructure smaller customers may share a cluster given proper security careful with self- serviceability do your benchmarks and optimize, one sizing does not fit all
  • 21. © 2018 Feedzai. This presentation is proprietary and confidential. 21 THANK YOU